Merge branch 'master' into asalikhov/new_build_system

.github/ISSUE_TEMPLATE/config.yml

@@ -1,14 +1,14 @@
 blank_issues_enabled: false
 contact_links:
-  - name: "📖 - Jupyter Docker Stacks documentation"
+  - name: 📖 - Jupyter Docker Stacks documentation
     url: https://jupyter-docker-stacks.readthedocs.io/en/latest/index.html
     about: Go to the project's documentation
-  - name: "🔍 - Troubleshooting common problems"
+  - name: 🔍 - Troubleshooting common problems
     url: https://jupyter-docker-stacks.readthedocs.io/en/latest/using/troubleshooting.html
     about: Documentation section on troubleshooting commonly encountered errors
-  - name: "💬 - Jupyter community Discourse"
+  - name: 💬 - Jupyter community Discourse
     url: https://discourse.jupyter.org/
     about: Interact with the rest of the Jupyter community
-  - name: "(maintainers only) Blank issue"
+  - name: (maintainers only) Blank issue
     url: https://github.com/jupyter/docker-stacks/issues/new
     about: For maintainers only

.github/dependabot.yml

@@ -5,7 +5,7 @@
 
 version: 2
 updates:
-  - package-ecosystem: "github-actions"
-    directory: "/"
+  - package-ecosystem: github-actions
+    directory: /
     schedule:
-      interval: "weekly"
+      interval: weekly

.github/workflows/hub-overview.yml

@@ -40,4 +40,4 @@ jobs:
           destination_container_repo: jupyter/base-notebook
           provider: dockerhub
           short_description: "Small base image for Jupyter Notebook stacks from https://github.com/jupyter/docker-stacks"
-          readme_file: "base-notebook/README.md"
+          readme_file: base-notebook/README.md

docs/using/specifics.md

@@ -83,6 +83,12 @@ The following sections provide some examples of how to get started using them.
 
 Spark **local mode** is useful for experimentation on small data when you do not have a Spark cluster available.
 
+```{warning}
+In these examples, Spark spawns all the main execution components in the same single JVM.
+You can read additional info about local mode [here](https://books.japila.pl/apache-spark-internals/local/).
+If you want to use all the CPU one of the simplest way is to setup a [Spark Standalone Cluster](https://spark.apache.org/docs/latest/spark-standalone.html).
+```
+
 ##### Local Mode in Python
 
 In a Python notebook.